Industrial Feasibility Study — Manufacturing

A manufacturing operation wanted to explore AI adoption but had no clarity on where to start, what the ROI would look like, or which processes were worth automating. They needed a structured analysis before committing budget.

I conducted a comprehensive AI feasibility study, analyzing every major process in the operation and identifying the highest-impact automation opportunities.

On-site and remote process mapping across production, quality control, logistics, and admin

Data audit to assess what information was already being captured (and what was missing)

GPT-4 powered analysis of process documentation to identify bottlenecks and inefficiencies

ROI modeling for each automation opportunity, ranked by impact and implementation complexity

Process map of 12 core workflows with bottleneck identification

AI opportunity matrix scoring 8 potential automation projects

ROI projections for top 3 recommended implementations

Implementation roadmap with phased timeline and resource requirements

Risk assessment and mitigation strategies

Analysis: GPT-4, Python

Documentation: Custom report generation pipeline

Identified 3 high-ROI automation opportunities with projected 18-month payback

Client approved Phase 1 implementation based on the study

Estimated annual savings of $400K+ across recommended automations

Study completed in 5 business days